Ordered reliability bits guessing random additive noise decoding
Error correction techniques traditionally focus on the co-design of restricted code-structures
in tandem with code-specific decoders that are computationally efficient when decoding long …
in tandem with code-specific decoders that are computationally efficient when decoding long …
Keep the bursts and ditch the interleavers
While many communications media, such as wireless and certain classes of wireline
channels, typically lead to bursty errors, most decoders are designed assuming memoryless …
channels, typically lead to bursty errors, most decoders are designed assuming memoryless …
6G perspective of mobile network operators, manufacturers, and verticals
The first release of 5G technology is being rolled out worldwide. In parallel, 3GPP is
constantly adding new features to upcoming releases covering well-known use cases. This …
constantly adding new features to upcoming releases covering well-known use cases. This …
A fixed latency ORBGRAND decoder architecture with LUT-aided error-pattern scheduling
C Condo - IEEE Transactions on Circuits and Systems I …, 2022 - ieeexplore.ieee.org
Guessing Random Additive Noise Decoding (GRAND) is a universal decoding algorithm
that has been recently proposed as a practical way to perform maximum likelihood …
that has been recently proposed as a practical way to perform maximum likelihood …
Universal decoding of quantum stabilizer codes via classical guesswork
A universal decoding scheme is conceived for quantum stabilizer codes (QSCs) by
appropriately adapting the 'guessing random additive noise decoding'(GRAND) philosophy …
appropriately adapting the 'guessing random additive noise decoding'(GRAND) philosophy …
Guessing random additive noise decoding with symbol reliability information (SRGRAND)
The design and implementation of error correcting codes has long been informed by two
fundamental results: Shannon's 1948 capacity theorem, which established that long codes …
fundamental results: Shannon's 1948 capacity theorem, which established that long codes …
GRAND for fading channels using pseudo-soft information
H Sarieddeen, M Médard… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Guessing random additive noise decoding (GRAND) is a universal maximum-likelihood
decoder that recovers codewords by guessing rank-ordered putative noise sequences and …
decoder that recovers codewords by guessing rank-ordered putative noise sequences and …
Constrained error pattern generation for GRAND
Maximum-likelihood (ML) decoding can be used to obtain the optimal performance of error
correction codes. However, the size of the search space and consequently the decoding …
correction codes. However, the size of the search space and consequently the decoding …
Upgrade error detection to prediction with GRAND
Guessing Random Additive Noise Decoding (GRAND) is a family of hard-and soft-detection
error correction decoding algorithms that provide accurate decoding of any moderate …
error correction decoding algorithms that provide accurate decoding of any moderate …
Soft decoding without soft demapping with ORBGRAND
For spectral efficiency, higher order modulation symbols confer information on more than
one bit. As soft detection forward error correction decoders assume the availability of …
one bit. As soft detection forward error correction decoders assume the availability of …